i am new to this domain.
Currently I am doing project on topic employee satisfation survey in IT company. Can any one tell me how to analyse the data collected and also how to make it presentable.
please provide me with grafs and figure.
I would be very thankful.

From India, Gurgaon
Hi Shewta,
Well there are two ways to analyse the same:-
1. By numbers & % of the response for each impt category..
2. Presentation by Bar charts would be ideal..for this you need to use the tool available in excel which is relatively easy ..highlight the area and use graphs tool in excel..
3. Analyse the data prior to presenting the same to Mgmnt in terms of authenticity and whether the response is appropriate with reference to the questionaire circulated and whether there is a scope of ambiguity or misunderstanding...

From India, Pune
Dear Shweta,
Are you familiar with the SPSS software? I use it to analyze my survey data. However it might not be for you if you do not have knowledge of psychological statistics. The software website is www.spss.com and you could ask your company to sponsor you for training on statistics.
You might find it useful to do correlations and cross-tabs with your data to see what variables are related to each other, and thus might affect each other.
Let me know if you have any specific questions.
With regards,
Mubeena Mohd

From United Arab Emirates, Dubai
thanks but i want know on which area i have to analysze the data like on over all satisfaction ... or on specific area like appraisal , salary or work culture. pls provide me some input.
From India, Gurgaon
Hi Shewta,
For your reference am attaching a document viz :-
* Employee satisfaction survey with the sample questionaire and assessment regarding the presentation of the survey.
Hope this helps.

From India, Pune

Attached Files (Download Requires Membership)
File Type: xls employee_satisfaction_survey_114.xls (34.0 KB, 6218 views)

hi, I am doing a project on employee satisfaction and i have even collected the data but have no idea how to work on spss. PLZ HELP ME
From India, Mumbai
Hi Shweta,
You have not given enough info about your survey. For example, in another posting a student had conducted a open-ended survey with 7 respondents. In such surveys you can't really produce graphs and statistics. Even with quantitative surveys, a sample size of less than 10, though graphs can be produced, you can't apply statistical tests.
Hence, if you give more info I might be able to help you.
I have supervised MBA dissertations for over 7 years and you could write to me at giving as much detail of your methods as possible.
Best wishes

From United Kingdom
hi you can check out the following website Web Survey Software, Customer Employee Satisfaction, Free Online Survey Templates for free questionniares
From India,
Apart from just computing percentage. Regression analysis, Factor Analysis, Attribute Sentitivity and Cluster analysis is very imporatant to analyse a satisfaction survey effectively. You would require SPSS software for these analysis
From India, Bangalore
Need Help!
I am doing a project on an employee satisfaction survey which is entirely different the normal survey's I am asked to do a survey for the entity of the organisation whose function is to send the emplys to different countries on an assignment basis. The questionnaier designed for this is process specific. It is to get the good view of how the process which includes all the steps from preboarding to exit. At which step the management needs to focus. I am not sure how to go about it and prepare the report. As i dont have any parameter like payroll issues, work envrnmnt etc to measure and nothing to compare. So really dont know what to do.
Please help asap as have to submit the report.
Do sujjst how to analyse the data statistically using tools and what all do I need to add in executive summary in this specific case as have the report format, still not gttng what to write and what not to.
Thanks & Regards

From India, New Delhi

If you are knowledgeable about any fact, resource or experience related to this topic - please add your views using the reply box below. For articles and copyrighted material please only cite the original source link. Each contribution will make this page a resource useful for everyone.

Please Login To Add Reply →

About Us Advertise Contact Us Testimonials
Privacy Policy Disclaimer Terms Of Service

All rights reserved @ 2021 CiteHRô

All Material Copyright And Trademarks Posted Held By Respective Owners.
Panel Selection For Threads Are Automated - Members Notified Via CiteMailer Server